Training course "Scientific Python" @ JSC
- 18.Mar.2013 09:00
- 20.Mar.2013 16:30
- JSC, Jülich
Python is being increasingly used in scientific computing as it is easy to make changes and explore new ideas.
Many Python packages support scientific computing. NumPy provides functionality for working with arrays. SciPy contains functionality for performing common tasks on these arrays, for example linear algebra, optimisation, numerical integration, and much more. Matplotlib is used to produce publication-quality plots.
The course will begin with an overview of NumPy and SciPy and then work along examples targeted at people interested in Python's capabilities and potential applications in their fields.